Viewing 15 posts - 61 through 75 (of 440 total)
Does your query has joins accross the servers?
April 14, 2009 at 10:21 am
I am going to enjoy by reading your next set of articles on Avoiding Cursors :)..
From now on, if any body asks me on why we should not use cursors...
April 14, 2009 at 10:03 am
By looking at the exeuction plan i believe EXISTS is faster...
April 14, 2009 at 4:54 am
Its a good article, but do you have any questions??
April 14, 2009 at 4:47 am
Question:
Who is going to view this data?? and in what form? In Report or Front-end application.
April 13, 2009 at 2:32 pm
Hi
You can use CUBE or ROLLUP to do the sum of all the rows.
Check out the below link
April 13, 2009 at 2:32 pm
Steve Jones - Editor (4/12/2009)
Unlike ORacle, SQL is not optimized for cursors. It's optimized for set based operations, and as Gail mentioned, it is far slowed working with cursors.
Steve, Yo...
April 13, 2009 at 10:02 am
Hi Gila,
These are great articles but i am not able to add any comments 🙁
April 13, 2009 at 8:40 am
Hi Venki,
Thats a good way to eliminate the duplicates. i.e. Implementing all the necessary changes to eliminate the duplicate records on the source side.
April 13, 2009 at 8:27 am
It looks to me by reading all the different post, people are leaning towards to the JOIN..
April 13, 2009 at 8:23 am
Nawar.Tabaa (1/14/2009)
April 13, 2009 at 8:19 am
Jeff,
wow..its simply great to see the way you are thinking on the questions and answers...
April 13, 2009 at 8:08 am
Hi
You may want to check out the below link to delete the duplicate records:
April 13, 2009 at 8:01 am
Hi, Yes we can create TRIM UDF, Thats what i am doing right now.
==> TRIM( ,'L') for doign Left-Trim
==> TRIM( ,'R') for doign Right-Trim
==> TRIM( ) for doign Trim
April 13, 2009 at 7:37 am
Viewing 15 posts - 61 through 75 (of 440 total)